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**Session 87 - Large Scale Structure.**

*Display session, Friday, January 09*

*Exhibit Hall, *

## [87.05] Higher-Order Correlation Functions and the FIRST Survey

*A. Buchalter, M. Kamionkowski (Columbia U.)*
The moments of a two-dimensional distribution of sources on
the sky can be explicitly obtained by integrating the
corresponding projected k-space spectra
(known from linear perturbation theory),
weighted by appropriate window functions.
We derive the results for the normalized skewness of a
two-dimensional
survey, s_3 = \frac\left\langle\delta_R^3
\right\rangle
\left\langle\delta_R^2\right\rangle^
2, where \delta_R is the
overdensity of counts in a window of angular radius R and
is biased relative to
the overdensity in the underlying mass distribution,
\delta_m, via \delta = \sum\frac1k!b_k\delta_
m^k.
We incorporate the full dependence of the result for s_3
on Ømega_0 and, as well as
the b_1 and b_2 terms in the bias expansion, in addition
to the dependence
on the index of the power spectrum and the redshift
selection function.
These results will be compared to the observed values for
the VLA FIRST survey,
and the resulting constraints will be discussed.

**Program
listing for Friday**